An approach to improve the predictive power of choice-based conjoint analysis
暂无分享,去创建一个
[1] C. Antoniak. Mixtures of Dirichlet Processes with Applications to Bayesian Nonparametric Problems , 1974 .
[2] P. Green,et al. Conjoint Analysis in Consumer Research: Issues and Outlook , 1978 .
[3] S. Geisser,et al. A Predictive Approach to Model Selection , 1979 .
[4] T. Ferguson. BAYESIAN DENSITY ESTIMATION BY MIXTURES OF NORMAL DISTRIBUTIONS , 1983 .
[5] Jordan J. Louviere,et al. Design and Analysis of Simulated Consumer Choice or Allocation Experiments: An Approach Based on Aggregate Data , 1983 .
[6] Albert Y. Lo,et al. On a Class of Bayesian Nonparametric Estimates: I. Density Estimates , 1984 .
[7] A. Page,et al. Redesigning product lines with conjoint analysis: How sunbeam does it , 1987 .
[8] Gary J. Russell,et al. A Probabilistic Choice Model for Market Segmentation and Elasticity Structure , 1989 .
[9] J. Sethuraman. A CONSTRUCTIVE DEFINITION OF DIRICHLET PRIORS , 1991 .
[10] Michel Wedel,et al. Latent class metric conjoint analysis , 1992 .
[11] Joel H. Steckel,et al. Cross-Validating Regression Models in Marketing Research , 1993 .
[12] Greg M. Allenby,et al. Using Extremes to Design Products and Segment Markets , 1995 .
[13] M. Escobar,et al. Bayesian Density Estimation and Inference Using Mixtures , 1995 .
[14] P. Lenk,et al. Hierarchical Bayes Conjoint Analysis: Recovery of Partworth Heterogeneity from Reduced Experimental Designs , 1996 .
[15] Greg M. Allenby,et al. On the Heterogeneity of Demand , 1998 .
[16] Andrew Thomas,et al. WinBUGS - A Bayesian modelling framework: Concepts, structure, and extensibility , 2000, Stat. Comput..
[17] H. Ishwaran,et al. Exact and approximate sum representations for the Dirichlet process , 2002 .
[18] Rick L. Andrews,et al. Hierarchical Bayes versus Finite Mixture Conjoint Analysis Models: A Comparison of Fit, Prediction, and Partworth Recovery , 2002 .
[19] Bradley P. Carlin,et al. Bayesian measures of model complexity and fit , 2002 .
[20] Elie Ofek,et al. How Much Does the Market Value an Improvement in a Product Attribute , 2002 .
[21] John R. Hauser,et al. Polyhedral Methods for Adaptive Choice-Based Conjoint Analysis , 2004 .
[22] Ka Yee Yeung,et al. Bayesian mixture model based clustering of replicated microarray data , 2004, Bioinform..
[23] F. Feinberg,et al. Assessing Heterogeneity in Discrete Choice Models Using a Dirichlet Process Prior , 2004 .
[24] M. Wedel,et al. Analyzing Brand Competition across Subcategories , 2004 .
[25] B. Orme. Getting Started with Conjoint Analysis: Strategies for Product Design and Pricing Research , 2005 .
[26] Peter S. Fader,et al. Modeling the 'Pseudodeductible' in Insurance Claims Decisions , 2006, Manag. Sci..
[27] C. Robert,et al. Deviance information criteria for missing data models , 2006 .
[28] K. Das,et al. Effectiveness of tibolone on the reduction of menopausal problems—a Bayesian semi‐parametric interpretation , 2007, Statistics in medicine.
[29] M. Pontil,et al. A Convex Optimization Approach to Modeling Consumer Heterogeneity in Conjoint Estimation , 2007 .
[30] D J Spiegelhalter,et al. Flexible random‐effects models using Bayesian semi‐parametric models: applications to institutional comparisons , 2007, Statistics in medicine.
[31] Pulak Ghosh,et al. Bayesian Analysis of Cancer Rates From SEER Program Using Parametric and Semiparametric Joinpoint Regression Models , 2009 .
[32] Rick L. Andrews,et al. Multi-stage purchase decision models: Accommodating response heterogeneity, common demand shocks, and endogeneity using disaggregate data , 2009 .
[33] Peter J. Lenk,et al. Posterior Predictive Model Checking: An Application to Multivariate Normal Heterogeneity , 2010 .
[34] Michael Braun,et al. Scalable Inference of Customer Similarities from Interactions Data Using Dirichlet Processes , 2010, Mark. Sci..
[35] Young-Hoon Park,et al. Modelling member behaviour in on‐line user‐generated content sites: a semiparametric Bayesian approach , 2011 .
[36] Oded Netzer,et al. Adaptive Self-Explication of Multiattribute Preferences , 2011 .
[37] N. G. Best,et al. The deviance information criterion: 12 years on , 2014 .
[38] John C. Liechty,et al. Attribute-Level Heterogeneity , 2013, Manag. Sci..